Key result
4D Flow MRI identifies significant hemodynamic differences between DCM patients and healthy volunteers.
Why the study?
Does a finite element method applied to 4D Flow MRI data identify abnormal left intraventricular hemodynamics in patients with dilated cardiomyopathy compared to healthy volunteers?
Cross-Sectional (n=25)
Does a finite element method applied to 4D Flow MRI data identify abnormal left intraventricular hemodynamics in patients with dilated cardiomyopathy compared to healthy volunteers?
Finite element analysis of 4D Flow MRI data can reliably quantify left ventricular hemodynamics and detect persistent abnormal flow patterns in DCM patients, even those with recovered ejection fraction.
Supports hemodynamic assessment via 4D Flow MRI in DCM; leaves open whether metrics predict outcomes or guide management.
In this paper, we applied a method for quantifying several left intraventricular hemodynamic parameters from 4D Flow data and its application in a proof-of-concept study in dilated cardiomyopathy (DCM) patients. In total, 12 healthy volunteers and 13 DCM patients under treatment underwent short-axis cine b-SSFP and 4D Flow MRI. Following 3D segmentation of the left ventricular (LV) cavity and registration of both sequences, several hemodynamic parameters were calculated at peak systole, e-wave, and end-diastole using a finite element approach. Sensitivity, inter- and intra-observer reproducibility of hemodynamic parameters were evaluated by analyzing LV segmentation. A local analysis was performed by dividing the LV cavity into 16 regions. We found significant differences between volunteers and patients in velocity, vorticity, viscous dissipation, energy loss, and kinetic energy at peak systole and e-wave. Furthermore, although five patients showed a recovered ejection fraction after treatment, their hemodynamic parameters remained low. We obtained several hemodynamic parameters with high inter- and intra-observer reproducibility. The sensitivity study revealed that hemodynamic parameters showed a higher accuracy when the segmentation underestimates the LV volumes. Our approach was able to identify abnormal flow patterns in DCM patients compared to volunteers and can be applied to any other cardiovascular diseases.
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Franco et al. (2021) conducted a cross-sectional in Dilated cardiomyopathy (n=25). 4D Flow MRI with finite element method vs. Healthy volunteers was evaluated on Hemodynamic parameters (velocity, vorticity, viscous dissipation, energy loss, and kinetic energy) at peak systole and e-wave. A finite element approach using 4D Flow MRI identified significant differences in velocity, vorticity, viscous dissipation, energy loss, and kinetic energy between DCM patients and healthy volunteers.
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